A Semi-distributed Reputation Based Intrusion Detection System for Mobile Adhoc Networks

TL;DR

This paper introduces a semi-distributed reputation-based intrusion detection system for MANETs that enhances security by combining social-inspired reputation mechanisms with the DSR routing protocol, improving packet delivery and reducing routing overhead.

Contribution

It presents a novel semi-distributed IDS architecture with features like Redemption and Fading, optimized parameters, and integration with DSR, offering improved security against attacks in MANETs.

Findings

Outperforms standard DSR in packet delivery ratio

Reduces routing overhead under malicious node conditions

Effective against common MANET attacks

Abstract

A Mobile Adhoc Network (MANET) is a cooperative engagement of a collection of mobile nodes without any centralized access point or infrastructure to coordinate among the peers. The underlying concept of coordination among nodes in a cooperative MANET has induced in them a vulnerability to attacks due to issues like lack of fixed infrastructure, dynamically changing network topology, cooperative algorithms, lack of centralized monitoring and management point, and lack of a clear line of defense. We propose a semi-distributed approach towards Reputation Based Intrusion Detection System (IDS) that combines with the DSR routing protocol for strengthening the defense of a MANET. Our system inherits the features of reputation from human behavior, hence making the IDS socially inspired. It has a semi-distributed architecture as the critical observation results of the system are neither spread globally nor restricted locally. The system assigns maximum weightage to self observation by nodes for updating any reputation values, thus avoiding the need of a trust relationship between nodes. Our system is also unique in the sense that it features the concepts of Redemption and Fading with a robust Path Manager and Monitor system. Simulation studies show that DSR fortified with our system outperforms normal DSR in terms of the packet delivery ratio and routing overhead even when up to half of nodes in the network behave as malicious. Various parameters introduced such as timing window size, reputation update values, congestion parameter and other thresholds have been optimized over several simulation test runs of the system. By combining the semi-distributed architecture and other design essentials like path manager, monitor module, redemption and fading concepts; Our system proves to be robust enough to counter most common attacks in MANETs.